2026_An Enhanced Adaptive Duty Cycle Scheme For Energy Efficent in Wireless Sensor Network
| Format: | General Document |
|---|
| _version_ | 1860798361073876992 |
|---|---|
| building | INTELEK Repository |
| collection | Online Access |
| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection8802 |
| copyright | Copyright©PWB2026 |
| country | Malaysia |
| date | 2025-05-18 |
| format | General Document |
| id | 17460 |
| institution | UniSZA |
| originalfilename | 17460_ddaa2e2c6dd7edb.pdf |
| person | Ahmad Aiman Shallahuddin |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=17460 |
| sourcemedia | Server storage Scanned document |
| spelling | 17460 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=17460 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection8802 General Document Malaysia Library Staff (Top Management) Library Staff (Management) Library Staff (Support) Terengganu Faculty of Informatics & Computing English application/pdf 1.7 Microsoft® Word 2019 Public Access Server storage Scanned document Universiti Sultan Zainal Abidin Universiti Sultan Zainal Abidin Computer networks 110 Wireless sensor networks Quality of Service (QoS) Dissertations, Academic Copyright©PWB2026 Thesis 2025-05-18 Ahmad Aiman Shallahuddin Wireless Sensor Network (WSN) Energy Efficiency Adaptive Duty Cycle Medium Access Control (MAC) Sensor-MAC (SMAC) Enhanced Sensor-MAC (ESMAC) Packet Priority Energy Consumption Network Latency Packet Delivery Ratio (PDR) NS2 Simulation Data Transmission Systems 2026_An Enhanced Adaptive Duty Cycle Scheme For Energy Efficent in Wireless Sensor Network uuid:98CCD189-047B-486C-BED1-DB3C4B5B086D 17460_ddaa2e2c6dd7edb.pdf Wireless Sensor Networks (WSNs) are self-configured and infrastructure-free wireless networks that monitor physical or environmental conditions such as temperature, sound, vibration, pressure, motion, or pollutants and cooperatively pass their data through the network to a central location or sink where the data can be observed and analyzed. Excessive energy consumption due to the process of idle listening and overhearing is one of the major problems in WSNs. Quality of Service (QoS) is a commonly used method for determining energy-efficient use. Previous studies have shown that the operation of access control of incoming and outgoing data at the Media Access Control (MAC) layer consumes most of the energy that affects the QoS matrices. In this research, an Enhanced Sensor-MAC (ESMAC) protocol is introduced based on the Sensor-MAC (SMAC) protocol to improve energy consumption in WSNs. SMAC is a protocol/rule used by the MAC layer for sending and receiving data. Data transmissions are transmitted when the duty cycle is in active mode. The duty cycle used by SMAC to determine the active mode and sleep mode is assigned by setting a certain amount of time. Meanwhile, the proposed ESMAC protocol in this study determines the duty cycle based on packet priority. Packet priority is determined by the size of the data packet, where a larger data packet size is given a higher priority. High data priority will activate the duty cycle for data transmission without waiting for a full queue length. The proposed method was simulated using NS2 software. The simulation results were calculated based on QoS matrices such as end-to-end delay, Packet Delivery Ratio (PDR), packet loss, energy consumption, and network latency. The results show that the ESMAC protocol uses less energy, resulting in energy consumption savings of 8.56%. There are only slight differences in PDR, which are 0.23%, 0.29%, and 0.02% for low, medium, and high priority, respectively. The results obtained were compared with existing protocols, which indicated that ESMAC performed significantly better than the existing protocols in terms of energy efficiency, end-to-end delay, and latency. In light of the outcomes, it can be established that this approach has the potential to enhance energy efficiency and QoS provisioning in WSNs. Computer Simulation Computer Communication Networks |
| spellingShingle | 2026_An Enhanced Adaptive Duty Cycle Scheme For Energy Efficent in Wireless Sensor Network |
| state | Terengganu |
| subject | Computer networks Wireless sensor networks Dissertations, Academic Data Transmission Systems Computer Simulation Computer Communication Networks |
| summary | Wireless Sensor Networks (WSNs) are self-configured and infrastructure-free wireless networks that monitor physical or environmental conditions such as temperature, sound, vibration, pressure, motion, or pollutants and cooperatively pass their data through the network to a central location or sink where the data can be observed and analyzed. Excessive energy consumption due to the process of idle listening and overhearing is one of the major problems in WSNs. Quality of Service (QoS) is a commonly used method for determining energy-efficient use. Previous studies have shown that the operation of access control of incoming and outgoing data at the Media Access Control (MAC) layer consumes most of the energy that affects the QoS matrices. In this research, an Enhanced Sensor-MAC (ESMAC) protocol is introduced based on the Sensor-MAC (SMAC) protocol to improve energy consumption in WSNs. SMAC is a protocol/rule used by the MAC layer for sending and receiving data. Data transmissions are transmitted when the duty cycle is in active mode. The duty cycle used by SMAC to determine the active mode and sleep mode is assigned by setting a certain amount of time. Meanwhile, the proposed ESMAC protocol in this study determines the duty cycle based on packet priority. Packet priority is determined by the size of the data packet, where a larger data packet size is given a higher priority. High data priority will activate the duty cycle for data transmission without waiting for a full queue length. The proposed method was simulated using NS2 software. The simulation results were calculated based on QoS matrices such as end-to-end delay, Packet Delivery Ratio (PDR), packet loss, energy consumption, and network latency. The results show that the ESMAC protocol uses less energy, resulting in energy consumption savings of 8.56%. There are only slight differences in PDR, which are 0.23%, 0.29%, and 0.02% for low, medium, and high priority, respectively. The results obtained were compared with existing protocols, which indicated that ESMAC performed significantly better than the existing protocols in terms of energy efficiency, end-to-end delay, and latency. In light of the outcomes, it can be established that this approach has the potential to enhance energy efficiency and QoS provisioning in WSNs. |
| title | 2026_An Enhanced Adaptive Duty Cycle Scheme For Energy Efficent in Wireless Sensor Network |
| title_full | 2026_An Enhanced Adaptive Duty Cycle Scheme For Energy Efficent in Wireless Sensor Network |
| title_fullStr | 2026_An Enhanced Adaptive Duty Cycle Scheme For Energy Efficent in Wireless Sensor Network |
| title_full_unstemmed | 2026_An Enhanced Adaptive Duty Cycle Scheme For Energy Efficent in Wireless Sensor Network |
| title_short | 2026_An Enhanced Adaptive Duty Cycle Scheme For Energy Efficent in Wireless Sensor Network |
| title_sort | 2026_an enhanced adaptive duty cycle scheme for energy efficent in wireless sensor network |